Outstanding candidates are sought with strong programming abilities, preferably with a background in physics/chemistry/materials or engineering/computer science. Candidates should be comfortable with project management and a diverse collaboration environment with teams across Europe.
The position will contribute to the development of the data and simulation infrastructure of BIG-MAP, and to the capabilities for automated simulations and data analytics. Core objectives will be automated data archiving (through the Materials Cloud ARCHIVE) and integration and dissemination of these data capabilities with simulation capabilities (through AiiDAlab, deployed on local workstations, Materials Cloud WORK, Kubernetes clusters, European Open Science Cloud, and commercial providers such as AWS or Azure). The position will be embedded in the AiiDA and Materials Cloud teams.
- A PhD in the physical sciences (physics, chemistry, or materials), engineering, or computer science. Alternatively, a MSc with a tangible and proven track record in these domains
- Strong programming skills (Python a plus)
- Strong organizational skills, including the ability to work independently managing complex projects involving multiple partners from academia and industry in a highly collaborative environment
More information and application
Applications will be reviewed continuously and the position will remain open until filled.
More details can be found here.
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